Ask DiggyChat across Git, Jira, and Confluence.
DiggyChat is under construction. The AI portal for your org's knowledge sources connects Git, Jira, Confluence, and the rest of your stack so engineering teams get answers without hiring a platform team. Behind the scenes, I install the crawlers for each client on a schedule we agree so nothing goes stale.
If this sounds interesting, you're already the right audience.
DiggyChat is the AI portal for your company's knowledge. It sits on top of Git, Jira, Confluence, and the systems you already run. Less hunting, more asking. Try questions like these.
Answers pull from Git, Jira, Confluence, delivery tooling, and work tracking. When you need deeper edits, the portal can hand off to coding assistants you already use.
A working AI portal for your org, not a slide deck. I install and tune the crawlers for each organization so answers stay current on the cadence you choose.
One place to ask cross-cutting questions across Git, Jira, Confluence, releases, and tickets. Sources you can follow up on.
Hands-on rollout with authenticated pulls from your tools, scheduled refreshes, and guardrails matched to your risk profile.
Optional handoff to coding assistants such as Cursor CLI or OpenCode. Bring your own models and policies.
A deployment your team can operate independently.
This is a one-off, fixed-scope project, with knowledge transfer at handover. Optional support can be agreed separately.
Ask across repos, tickets, and docs when you need cross-cutting answers, not another internal platform to build and maintain.
Git, Jira, Confluence, and the rest stay where they are. DiggyChat connects them so you can ask across boundaries.
Crawlers run on a schedule you control. I set them up and answers reflect last week, not last quarter.
The pitch is simple. Ask once, see the thread from ticket to repo to doc.
I'm an AI / DevOps engineer at Nokia, with a PhD in Computer Science and 15+ years of experience building and operating large-scale systems.
I've worked on telecom-grade cloud platforms, CI/CD and testing infrastructure, internal developer tooling, and AI systems applied to real production constraints.
I'm also the creator of Vivalerts, a news monitoring system that tracks and ranks emerging topics based on public discussion signals.
With DiggyChat, I install the crawlers for each organization so the knowledge behind those answers stays fresh without heroic manual exports.
DiggyChat is my way of giving teams an AI portal over Git, Jira, Confluence, and the rest without another shelfware platform to maintain.
Pricing is project-based, not hourly. Projects typically range from €8,000 to €25,000 depending on scale and complexity. Details will be shared privately, based on scope.
The site will open soon. Stay tuned for updates.